| MERGETUNE: Continued Fine-Tuning of Vision-Language Models | ✓ Link | 45.76 | PromptKD + MergeTune | 2026-01-15 |
| Causality-guided Prompt Learning for Vision-language Models via Visual Granulation | | 45.32 | CaPL | 2025-09-04 |
| PromptKD: Unsupervised Prompt Distillation for Vision-Language Models | ✓ Link | 45.17 | PromptKD | 2024-03-05 |
| Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics | | 44.31 | GAPL | 2026-04-05 |
| Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models | | 42.78 | FARL | 2025-12-04 |
| DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles | ✓ Link | 42.61 | DeAR | 2026-03-01 |
| MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models | ✓ Link | 42.24 | MMRL++ | 2025-05-15 |
| Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise | | 42.14 | ANPrompt | 2025-08-06 |
| SpecPL: Disentangling Spectral Granularity for Prompt Learning | ✓ Link | 41.58 | MMRL + SpecPL | 2026-05-06 |
| HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models | ✓ Link | 41.53 | HeBA | 2026-03-17 |
| HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling | ✓ Link | 41.33 | HPT++ | 2024-08-27 |
| MMRL: Multi-Modal Representation Learning for Vision-Language Models | ✓ Link | 41.15 | MMRL | 2025-03-11 |
| GLAD: Generalizable Tuning for Vision-Language Models | | 40.93 | GLAD | 2025-07-17 |
| ProCAP: Probabilistic Cross-Attentive Prompt Learning for Vision-Language Models | ✓ Link | 40.84 | ProCAP | 2026-09-24 |
| DePT: Decoupled Prompt Tuning | ✓ Link | 40.73 | DePT | 2023-09-14 |
| Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning | | 40.33 | PromptSRC + IPL | 2026-05-06 |
| Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models | ✓ Link | 40.28 | HPT | 2023-12-11 |
| Prompt Learning via Meta-Regularization | ✓ Link | 40.25 | ProMetaR | 2024-04-01 |
| Self-regulating Prompts: Foundational Model Adaptation without Forgetting | ✓ Link | 40.15 | PromptSRC | 2023-07-13 |
| One Last Attention for Your Vision-Language Model | ✓ Link | 39.82 | RAda + Adapter | 2025-07-21 |
| AttriPrompt: Dynamic Prompt Composition Learning for CLIP | | 39.80 | AttriPrompt | 2025-09-07 |
| Consistency-guided Prompt Learning for Vision-Language Models | ✓ Link | 39.76 | CoPrompt | 2023-06-01 |
| RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models | | 39.76 | RMAdapter | 2025-12-07 |
| A Closer Look at Conditional Prompt Tuning for Vision-Language Models | ✓ Link | 39.34 | DeCaPT | 2025-06-30 |
| MERGETUNE: Continued Fine-Tuning of Vision-Language Models | ✓ Link | 39.14 | MMA + MergeTune | 2026-01-15 |
| Learning Domain Invariant Prompt for Vision-Language Models | ✓ Link | 38.24 | MetaPrompt | 2022-12-08 |
| One Last Attention for Your Vision-Language Model | ✓ Link | 38.13 | RAda + Prompt | 2025-07-21 |
| Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning | | 37.98 | MaPLe + IPL | 2026-05-06 |
| SpecPL: Disentangling Spectral Granularity for Prompt Learning | ✓ Link | 37.74 | CoCoOp + SpecPL | 2026-05-06 |
| SpecPL: Disentangling Spectral Granularity for Prompt Learning | ✓ Link | 37.64 | MaPLe + SpecPL | 2026-05-06 |
| MaPLe: Multi-modal Prompt Learning | ✓ Link | 36.50 | MaPLe | 2022-10-06 |
| One Last Attention for Your Vision-Language Model | ✓ Link | 36.09 | RAda | 2025-07-21 |
| MERGETUNE: Continued Fine-Tuning of Vision-Language Models | ✓ Link | 36.07 | KgCoOp + MergeTune | 2026-01-15 |
| SpecPL: Disentangling Spectral Granularity for Prompt Learning | ✓ Link | 35.98 | CoOp + SpecPL | 2026-05-06 |
| Read-only Prompt Optimization for Vision-Language Few-shot Learning | ✓ Link | 35.70 | RPO | 2023-08-29 |
| MERGETUNE: Continued Fine-Tuning of Vision-Language Models | ✓ Link | 35.24 | CoOp + MergeTune | 2026-01-15 |
| Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning | | 34.91 | KgCoOp + IPL | 2026-05-06 |
| Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning | | 34.32 | CoCoOp + IPL | 2026-05-06 |
| Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning | | 34.22 | CoOp + IPL | 2026-05-06 |
| Learning Transferable Visual Models From Natural Language Supervision | ✓ Link | 31.09 | CLIP | 2021-02-26 |
| Conditional Prompt Learning for Vision-Language Models | ✓ Link | 27.74 | CoCoOp | 2022-03-10 |